BibTeX:

@article{IJIRSTV1I5004,
     title={Hardware Face Detection Module in Mobile Authentication},
     author={T. Uma Maheswari and P. Mallikarjuna},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={5},
     pages={1--3},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I5004.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In this paper, we propose a work of prose developed hardware architecture of face-detection module for mobile authentication. We used MCT and Adaboost learning technique as basic algorithms of face-detection authentication to reduce the size and increase the efficiency of authentication. We have designed and verified the hardware module of face-detection engine for high-performance and real-time processing in portable mobile systems. The developed code may have an advantage in real-time processing, low power consumption, high performance and low cost.

MCT, Face-detection, Adaboost learning technique